Massive Access for Artificial Intelligent of Things (AIoT)

This project aims to investigate and propose efficient multiple access mechanisms to optimize communication efficiency among massive devices in future wireless networks. The ultimate goal is to contribute to the advancement of next-generation wireless networks, making them more streamlined and intelligent.

The schematic diagram of the proposed massive digital AirComp scheme.

[ISIT'23] Unsourced Random Access for AirComp

The schematic diagram of the proposed massive digital AirComp scheme.

[TCOM'23] Integrated Sensing and Communication

Typical massive IoT access in smart factory scenarios.

XL-MIMO for massive access and the localization.

[JSAC'22] Non-Cohenrent Grant-Free Random Access

Comparison of the coherent GFRA schemes and the proposed non-coherent GFRA scheme.

[TWC'21,TVT'20] Media-Modulation for Grant-Free Random Access

The MTDs adopt media modulation to access the mMIMO BSs.

Communication process for coded media modulation based mMTC.

Citations

If you use this project, please cite the relevant original publications for the models and datasets, and cite this project as:

Massive Digital AirComp

@inproceedings{qiao2023unsourced,
  title={Unsourced massive access-based digital over-the-air computation for efficient federated edge learning},
  author={Qiao, Li and Gao, Zhen and Li, Zhongxiang and G{\"u}nd{\"u}z, Deniz},
  booktitle={2023 IEEE International Symposium on Information Theory (ISIT)},
  pages={2003--2008},
  year={2023},
  organization={IEEE}
}

ISAC GFRA

@article{qiao2023sensing,
  title={Sensing User’s Activity, Channel, and Location with Near-Field Extra-Large-Scale MIMO},
  author={Qiao, Li and Liao, Anwen and Li, Zhuoran and Wang, Hua and Gao, Zhen and Gao, Xiang and Su, Yu and Xiao, Pei and You, Li and Ng, Derrick Wing Kwan},
  journal={IEEE transactions on communications},
  year={2023},
  publisher={IEEE}
}

Non-Cohenrent GFRA

@article{qiao2022joint,
  title={Joint activity and blind information detection for UAV-assisted massive IoT access},
  author={Qiao, Li and Zhang, Jun and Gao, Zhen and Zheng, Dezhi and Hossain, Md Jahangir and Gao, Yue and Ng, Derrick Wing Kwan and Di Renzo, Marco},
  journal={IEEE Journal on Selected Areas in Communications},
  year={2022},
  volume={40},
  number={5},
  pages={1489-1508},
  doi={10.1109/JSAC.2022.3143255}}
}

Media-Modulation GFRA

@article{qiao2021massive,
  title={Massive access in media modulation based massive machine-type communications},
  author={Qiao, Li and Zhang, Jun and Gao, Zhen and Ng, Derrick Wing Kwan and Di Renzo, Marco and Alouini, Mohamed-Slim},
  journal={IEEE Transactions on Wireless Communications},
  volume={21},
  number={1},
  pages={339--356},
  year={2021},
  publisher={IEEE}
}
@article{qiao2020compressive,
  title={Compressive sensing based massive access for IoT relying on media modulation aided machine type communications},
  author={Qiao, Li and Zhang, Jun and Gao, Zhen and Chen, Sheng and Hanzo, Lajos},
  journal={IEEE Transactions on Vehicular Technology},
  volume={69},
  number={9},
  pages={10391--10396},
  year={2020},
  publisher={IEEE}
}

Book and Survey

@article{gao2023compressive,
  title={Compressive sensing-based grant-free massive access for 6G massive communication},
  author={Gao, Zhen and Ke, Malong and Mei, Yikun and Qiao, Li and Chen, Sheng and Ng, Derrick Wing Kwan and Poor, H Vincent},
  journal={IEEE Internet of Things Journal},
  year={2023},
  publisher={IEEE}
}
@book{gao2022massive,
  author = {Gao, Z. and Ke, M. and Qiao, L. and Mei, Y.},
  title = {Massive IoT Access for 6G},
  year = {2022},
  publisher = {Springer},
  address = {Singapore}
}